<!-- HTML header for doxygen 1.8.6-->
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=9"/>
<meta name="generator" content="Doxygen 1.8.13"/>
<title>OpenCV: Experimental 2D Features Algorithms</title>
<link href="../../opencv.ico" rel="shortcut icon" type="image/x-icon" />
<link href="../../tabs.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="../../jquery.js"></script>
<script type="text/javascript" src="../../dynsections.js"></script>
<script type="text/javascript" src="../../tutorial-utils.js"></script>
<link href="../../search/search.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="../../search/searchdata.js"></script>
<script type="text/javascript" src="../../search/search.js"></script>
<script type="text/x-mathjax-config">
  MathJax.Hub.Config({
    extensions: ["tex2jax.js", "TeX/AMSmath.js", "TeX/AMSsymbols.js"],
    jax: ["input/TeX","output/HTML-CSS"],
});
//<![CDATA[
MathJax.Hub.Config(
{
  TeX: {
      Macros: {
          matTT: [ "\\[ \\left|\\begin{array}{ccc} #1 & #2 & #3\\\\ #4 & #5 & #6\\\\ #7 & #8 & #9 \\end{array}\\right| \\]", 9],
          fork: ["\\left\\{ \\begin{array}{l l} #1 & \\mbox{#2}\\\\ #3 & \\mbox{#4}\\\\ \\end{array} \\right.", 4],
          forkthree: ["\\left\\{ \\begin{array}{l l} #1 & \\mbox{#2}\\\\ #3 & \\mbox{#4}\\\\ #5 & \\mbox{#6}\\\\ \\end{array} \\right.", 6],
          forkfour: ["\\left\\{ \\begin{array}{l l} #1 & \\mbox{#2}\\\\ #3 & \\mbox{#4}\\\\ #5 & \\mbox{#6}\\\\ #7 & \\mbox{#8}\\\\ \\end{array} \\right.", 8],
          vecthree: ["\\begin{bmatrix} #1\\\\ #2\\\\ #3 \\end{bmatrix}", 3],
          vecthreethree: ["\\begin{bmatrix} #1 & #2 & #3\\\\ #4 & #5 & #6\\\\ #7 & #8 & #9 \\end{bmatrix}", 9],
          cameramatrix: ["#1 = \\begin{bmatrix} f_x & 0 & c_x\\\\ 0 & f_y & c_y\\\\ 0 & 0 & 1 \\end{bmatrix}", 1],
          distcoeffs: ["(k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6 [, s_1, s_2, s_3, s_4[, \\tau_x, \\tau_y]]]]) \\text{ of 4, 5, 8, 12 or 14 elements}"],
          distcoeffsfisheye: ["(k_1, k_2, k_3, k_4)"],
          hdotsfor: ["\\dots", 1],
          mathbbm: ["\\mathbb{#1}", 1],
          bordermatrix: ["\\matrix{#1}", 1]
      }
  }
}
);
//]]>
</script><script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.0/MathJax.js"></script>
<link href="../../doxygen.css" rel="stylesheet" type="text/css" />
<link href="../../stylesheet.css" rel="stylesheet" type="text/css"/>
</head>
<body>
<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
<div id="titlearea">
<!--#include virtual="/google-search.html"-->
<table cellspacing="0" cellpadding="0">
 <tbody>
 <tr style="height: 56px;">
  <td id="projectlogo"><img alt="Logo" src="../../opencv-logo-small.png"/></td>
  <td style="padding-left: 0.5em;">
   <div id="projectname">OpenCV
   &#160;<span id="projectnumber">4.5.2</span>
   </div>
   <div id="projectbrief">Open Source Computer Vision</div>
  </td>
 </tr>
 </tbody>
</table>
</div>
<!-- end header part -->
<!-- Generated by Doxygen 1.8.13 -->
<script type="text/javascript">
var searchBox = new SearchBox("searchBox", "../../search",false,'Search');
</script>
<script type="text/javascript" src="../../menudata.js"></script>
<script type="text/javascript" src="../../menu.js"></script>
<script type="text/javascript">
$(function() {
  initMenu('../../',true,false,'search.php','Search');
  $(document).ready(function() { init_search(); });
});
</script>
<div id="main-nav"></div>
</div><!-- top -->
<!-- window showing the filter options -->
<div id="MSearchSelectWindow"
     onmouseover="return searchBox.OnSearchSelectShow()"
     onmouseout="return searchBox.OnSearchSelectHide()"
     onkeydown="return searchBox.OnSearchSelectKey(event)">
</div>

<!-- iframe showing the search results (closed by default) -->
<div id="MSearchResultsWindow">
<iframe src="javascript:void(0)" frameborder="0" 
        name="MSearchResults" id="MSearchResults">
</iframe>
</div>

<div class="header">
  <div class="summary">
<a href="#nested-classes">Classes</a> &#124;
<a href="#func-members">Functions</a>  </div>
  <div class="headertitle">
<div class="title">Experimental 2D Features Algorithms<div class="ingroups"><a class="el" href="../../d1/db4/group__xfeatures2d.html">Extra 2D Features Framework</a></div></div>  </div>
</div><!--header-->
<div class="contents">
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a>
Classes</h2></td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/db2/classcv_1_1xfeatures2d_1_1AffineFeature2D.html">cv::xfeatures2d::AffineFeature2D</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Class implementing affine adaptation for key points.  <a href="../../d4/db2/classcv_1_1xfeatures2d_1_1AffineFeature2D.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d7/d99/classcv_1_1xfeatures2d_1_1BEBLID.html">cv::xfeatures2d::BEBLID</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Class implementing <a class="el" href="../../d7/d99/classcv_1_1xfeatures2d_1_1BEBLID.html" title="Class implementing BEBLID (Boosted Efficient Binary Local Image Descriptor), described in  ...">BEBLID</a> (Boosted Efficient Binary Local Image Descriptor), described in <a class="el" href="../../d0/de3/citelist.html#CITEREF_Suarez2020BEBLID">[233]</a> .  <a href="../../d7/d99/classcv_1_1xfeatures2d_1_1BEBLID.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d1/dfd/classcv_1_1xfeatures2d_1_1BoostDesc.html">cv::xfeatures2d::BoostDesc</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Class implementing <a class="el" href="../../d1/dfd/classcv_1_1xfeatures2d_1_1BoostDesc.html" title="Class implementing BoostDesc (Learning Image Descriptors with Boosting), described in  and ...">BoostDesc</a> (Learning Image Descriptors with Boosting), described in <a class="el" href="../../d0/de3/citelist.html#CITEREF_Trzcinski13a">[237]</a> and <a class="el" href="../../d0/de3/citelist.html#CITEREF_Trzcinski13b">[238]</a>.  <a href="../../d1/dfd/classcv_1_1xfeatures2d_1_1BoostDesc.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d1/d93/classcv_1_1xfeatures2d_1_1BriefDescriptorExtractor.html">cv::xfeatures2d::BriefDescriptorExtractor</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Class for computing BRIEF descriptors described in <a class="el" href="../../d0/de3/citelist.html#CITEREF_calon2010">[40]</a> .  <a href="../../d1/d93/classcv_1_1xfeatures2d_1_1BriefDescriptorExtractor.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d9/d37/classcv_1_1xfeatures2d_1_1DAISY.html">cv::xfeatures2d::DAISY</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Class implementing <a class="el" href="../../d9/d37/classcv_1_1xfeatures2d_1_1DAISY.html" title="Class implementing DAISY descriptor, described in . ">DAISY</a> descriptor, described in <a class="el" href="../../d0/de3/citelist.html#CITEREF_Tola10">[246]</a>.  <a href="../../d9/d37/classcv_1_1xfeatures2d_1_1DAISY.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d2/d71/classcv_1_1xfeatures2d_1_1Elliptic__KeyPoint.html">cv::xfeatures2d::Elliptic_KeyPoint</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Elliptic region around an interest point.  <a href="../../d2/d71/classcv_1_1xfeatures2d_1_1Elliptic__KeyPoint.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../df/db4/classcv_1_1xfeatures2d_1_1FREAK.html">cv::xfeatures2d::FREAK</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Class implementing the <a class="el" href="../../df/db4/classcv_1_1xfeatures2d_1_1FREAK.html" title="Class implementing the FREAK (Fast Retina Keypoint) keypoint descriptor, described in  ...">FREAK</a> (<em>Fast Retina Keypoint</em>) keypoint descriptor, described in <a class="el" href="../../d0/de3/citelist.html#CITEREF_AOV12">[8]</a> .  <a href="../../df/db4/classcv_1_1xfeatures2d_1_1FREAK.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d1/dad/classcv_1_1xfeatures2d_1_1HarrisLaplaceFeatureDetector.html">cv::xfeatures2d::HarrisLaplaceFeatureDetector</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Class implementing the Harris-Laplace feature detector as described in <a class="el" href="../../d0/de3/citelist.html#CITEREF_Mikolajczyk2004">[172]</a>.  <a href="../../d1/dad/classcv_1_1xfeatures2d_1_1HarrisLaplaceFeatureDetector.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d36/classcv_1_1xfeatures2d_1_1LATCH.html">cv::xfeatures2d::LATCH</a></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d86/classcv_1_1xfeatures2d_1_1LUCID.html">cv::xfeatures2d::LUCID</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Class implementing the locally uniform comparison image descriptor, described in <a class="el" href="../../d0/de3/citelist.html#CITEREF_LUCID">[295]</a>.  <a href="../../d4/d86/classcv_1_1xfeatures2d_1_1LUCID.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d0/dcf/classcv_1_1xfeatures2d_1_1MSDDetector.html">cv::xfeatures2d::MSDDetector</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Class implementing the MSD (<em>Maximal Self-Dissimilarity</em>) keypoint detector, described in <a class="el" href="../../d0/de3/citelist.html#CITEREF_Tombari14">[247]</a>.  <a href="../../d0/dcf/classcv_1_1xfeatures2d_1_1MSDDetector.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d0/d74/classcv_1_1xfeatures2d_1_1PCTSignatures.html">cv::xfeatures2d::PCTSignatures</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Class implementing PCT (position-color-texture) signature extraction as described in <a class="el" href="../../d0/de3/citelist.html#CITEREF_KrulisLS16">[133]</a>. The algorithm is divided to a feature sampler and a clusterizer. Feature sampler produces samples at given set of coordinates. Clusterizer then produces clusters of these samples using k-means algorithm. Resulting set of clusters is the signature of the input image.  <a href="../../d0/d74/classcv_1_1xfeatures2d_1_1PCTSignatures.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/dd1/classcv_1_1xfeatures2d_1_1PCTSignaturesSQFD.html">cv::xfeatures2d::PCTSignaturesSQFD</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Class implementing Signature Quadratic Form Distance (SQFD).  <a href="../../d4/dd1/classcv_1_1xfeatures2d_1_1PCTSignaturesSQFD.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../dd/d39/classcv_1_1xfeatures2d_1_1StarDetector.html">cv::xfeatures2d::StarDetector</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">The class implements the keypoint detector introduced by <a class="el" href="../../d0/de3/citelist.html#CITEREF_Agrawal08">[2]</a>, synonym of <a class="el" href="../../dd/d39/classcv_1_1xfeatures2d_1_1StarDetector.html" title="The class implements the keypoint detector introduced by , synonym of StarDetector. : ">StarDetector</a>. :  <a href="../../dd/d39/classcv_1_1xfeatures2d_1_1StarDetector.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../de/de2/classcv_1_1xfeatures2d_1_1TBMR.html">cv::xfeatures2d::TBMR</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Class implementing the Tree Based Morse Regions (<a class="el" href="../../de/de2/classcv_1_1xfeatures2d_1_1TBMR.html" title="Class implementing the Tree Based Morse Regions (TBMR) as described in  extended with scaled extracti...">TBMR</a>) as described in <a class="el" href="../../d0/de3/citelist.html#CITEREF_Najman2014">[281]</a> extended with scaled extraction ability.  <a href="../../de/de2/classcv_1_1xfeatures2d_1_1TBMR.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d00/classcv_1_1xfeatures2d_1_1VGG.html">cv::xfeatures2d::VGG</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Class implementing <a class="el" href="../../d6/d00/classcv_1_1xfeatures2d_1_1VGG.html" title="Class implementing VGG (Oxford Visual Geometry Group) descriptor trained end to end using &quot;Descriptor...">VGG</a> (Oxford Visual Geometry Group) descriptor trained end to end using "Descriptor Learning Using Convex Optimisation" (DLCO) aparatus described in <a class="el" href="../../d0/de3/citelist.html#CITEREF_Simonyan14">[224]</a>.  <a href="../../d6/d00/classcv_1_1xfeatures2d_1_1VGG.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
Functions</h2></td></tr>
<tr class="memitem:gaf2523f757626e05bcaef4c202521b727"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d7/d7a/group__xfeatures2d__experiment.html#gaf2523f757626e05bcaef4c202521b727">cv::xfeatures2d::FASTForPointSet</a> (<a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> image, std::vector&lt; <a class="el" href="../../d2/d29/classcv_1_1KeyPoint.html">KeyPoint</a> &gt; &amp;keypoints, int <a class="el" href="../../d7/d1b/group__imgproc__misc.html#gae8a4a146d1ca78c626a53577199e9c57">threshold</a>, bool nonmaxSuppression=true, <a class="el" href="../../df/d74/classcv_1_1FastFeatureDetector.html#a4654f6fb0aa4b8e9123b223bfa0e2a08">cv::FastFeatureDetector::DetectorType</a> type=<a class="el" href="../../df/d74/classcv_1_1FastFeatureDetector.html#a4654f6fb0aa4b8e9123b223bfa0e2a08a7a1af523673c330d43ec47081bcc55e3">FastFeatureDetector::TYPE_9_16</a>)</td></tr>
<tr class="memdesc:gaf2523f757626e05bcaef4c202521b727"><td class="mdescLeft">&#160;</td><td class="mdescRight">Estimates cornerness for prespecified KeyPoints using the FAST algorithm.  <a href="../../d7/d7a/group__xfeatures2d__experiment.html#gaf2523f757626e05bcaef4c202521b727">More...</a><br /></td></tr>
<tr class="separator:gaf2523f757626e05bcaef4c202521b727"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<p>This section describes experimental algorithms for 2d feature detection. </p>
<h2 class="groupheader">Function Documentation</h2>
<a id="gaf2523f757626e05bcaef4c202521b727"></a>
<h2 class="memtitle"><span class="permalink"><a href="#gaf2523f757626e05bcaef4c202521b727">&#9670;&nbsp;</a></span>FASTForPointSet()</h2>

<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">void cv::xfeatures2d::FASTForPointSet </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a>&#160;</td>
          <td class="paramname"><em>image</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">std::vector&lt; <a class="el" href="../../d2/d29/classcv_1_1KeyPoint.html">KeyPoint</a> &gt; &amp;&#160;</td>
          <td class="paramname"><em>keypoints</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>threshold</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">bool&#160;</td>
          <td class="paramname"><em>nonmaxSuppression</em> = <code>true</code>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../df/d74/classcv_1_1FastFeatureDetector.html#a4654f6fb0aa4b8e9123b223bfa0e2a08">cv::FastFeatureDetector::DetectorType</a>&#160;</td>
          <td class="paramname"><em>type</em> = <code><a class="el" href="../../df/d74/classcv_1_1FastFeatureDetector.html#a4654f6fb0aa4b8e9123b223bfa0e2a08a7a1af523673c330d43ec47081bcc55e3">FastFeatureDetector::TYPE_9_16</a></code>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">

<p><code>#include &lt;<a class="el" href="../../dc/daa/xfeatures2d_8hpp.html">opencv2/xfeatures2d.hpp</a>&gt;</code></p>

<p>Estimates cornerness for prespecified KeyPoints using the FAST algorithm. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">image</td><td>grayscale image where keypoints (corners) are detected. </td></tr>
    <tr><td class="paramname">keypoints</td><td>keypoints which should be tested to fit the FAST criteria. Keypoints not being detected as corners are removed. </td></tr>
    <tr><td class="paramname">threshold</td><td>threshold on difference between intensity of the central pixel and pixels of a circle around this pixel. </td></tr>
    <tr><td class="paramname">nonmaxSuppression</td><td>if true, non-maximum suppression is applied to detected corners (keypoints). </td></tr>
    <tr><td class="paramname">type</td><td>one of the three neighborhoods as defined in the paper: <a class="el" href="../../df/d74/classcv_1_1FastFeatureDetector.html#a4654f6fb0aa4b8e9123b223bfa0e2a08a7a1af523673c330d43ec47081bcc55e3">FastFeatureDetector::TYPE_9_16</a>, <a class="el" href="../../df/d74/classcv_1_1FastFeatureDetector.html#a4654f6fb0aa4b8e9123b223bfa0e2a08af4be71a038c46401a0b431fcc994900d">FastFeatureDetector::TYPE_7_12</a>, <a class="el" href="../../df/d74/classcv_1_1FastFeatureDetector.html#a4654f6fb0aa4b8e9123b223bfa0e2a08a16aa140499fc16449dfae5f095dc475c">FastFeatureDetector::TYPE_5_8</a></td></tr>
  </table>
  </dd>
</dl>
<p>Detects corners using the FAST algorithm by <a class="el" href="../../d0/de3/citelist.html#CITEREF_Rosten06">[206]</a> . </p>

</div>
</div>
</div><!-- contents -->
<!-- HTML footer for doxygen 1.8.6-->
<!-- start footer part -->
<hr class="footer"/><address class="footer"><small>
Generated on Fri Apr 2 2021 11:36:42 for OpenCV by &#160;<a href="http://www.doxygen.org/index.html">
<img class="footer" src="../../doxygen.png" alt="doxygen"/>
</a> 1.8.13
</small></address>
<script type="text/javascript">
//<![CDATA[
addTutorialsButtons();
//]]>
</script>
</body>
</html>
